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Improving Multiple Sclerosis Plaque Detection Using a Semiautomated Assistive Approach

Overview of attention for article published in American Journal of Neuroradiology, June 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

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2 news outlets
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6 X users

Citations

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17 Dimensions

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20 Mendeley
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Title
Improving Multiple Sclerosis Plaque Detection Using a Semiautomated Assistive Approach
Published in
American Journal of Neuroradiology, June 2015
DOI 10.3174/ajnr.a4375
Pubmed ID
Authors

J. van Heerden, D. Rawlinson, A.M. Zhang, R. Chakravorty, M.A. Tacey, P.M. Desmond, F. Gaillard

Abstract

Treating MS with disease-modifying drugs relies on accurate MR imaging follow-up to determine the treatment effect. We aimed to develop and validate a semiautomated software platform to facilitate detection of new lesions and improved lesions. We developed VisTarsier to assist manual comparison of volumetric FLAIR sequences by using interstudy registration, resectioning, and color-map overlays that highlight new lesions and improved lesions. Using the software, 2 neuroradiologists retrospectively assessed MR imaging MS comparison study pairs acquired between 2009 and 2011 (161 comparison study pairs met the study inclusion criteria). Lesion detection and reading times were recorded. We tested inter- and intraobserver agreement and comparison with original clinical reports. Feedback was obtained from referring neurologists to assess the potential clinical impact. More comparison study pairs with new lesions (reader 1, n = 60; reader 2, n = 62) and improved lesions (reader 1, n = 28; reader 2, n = 39) were recorded by using the software compared with original radiology reports (new lesions, n = 20; improved lesions, n = 5); the difference reached statistical significance (P < .001). Interobserver lesion number agreement was substantial (≥1 new lesion: κk = 0.87; 95% CI, 0.79-0.95; ≥1 improved lesion: κk = 0.72; 95% CI, 0.59-0.85), and overall interobserver lesion number correlation was good (Spearman ρ: new lesion = 0.910, improved lesion = 0.774). Intraobserver agreement was very good (new lesion: κ = 1.0, improved lesion: κ = 0.94; 95% CI, 0.82-1.00). Mean reporting times were <3 minutes. Neurologists indicated retrospective management alterations in 79% of comparative study pairs with newly detected lesion changes. Using software that highlights changes between study pairs can improve lesion detection. Neurologist feedback indicated a likely impact on management.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 5%
Unknown 19 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 25%
Other 4 20%
Student > Doctoral Student 2 10%
Professor 2 10%
Student > Ph. D. Student 2 10%
Other 3 15%
Unknown 2 10%
Readers by discipline Count As %
Medicine and Dentistry 7 35%
Neuroscience 5 25%
Engineering 2 10%
Business, Management and Accounting 1 5%
Psychology 1 5%
Other 0 0%
Unknown 4 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 January 2021.
All research outputs
#1,677,420
of 24,268,934 outputs
Outputs from American Journal of Neuroradiology
#222
of 5,087 outputs
Outputs of similar age
#21,158
of 268,503 outputs
Outputs of similar age from American Journal of Neuroradiology
#4
of 84 outputs
Altmetric has tracked 24,268,934 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,087 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done particularly well, scoring higher than 95% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 268,503 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.